How do I install GPUQuant AI Infrastructure?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does GPUQuant AI Infrastructure need an API key?

No required environment variable is listed on this record.

What transport does GPUQuant AI Infrastructure use?

GPUQuant AI Infrastructure is reached over HTTP.

When was GPUQuant AI Infrastructure last checked?

Last checked 2026-11-08. Search AI infrastructure, inspect facility evidence and explore sourced company relationships.

GPUQuant AI Infrastructure MCP server

Power your agent

Add this server

The publisher's own URL. Not a PlugMCP endpoint.

Add to Cursor Add in Claude Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Server URL

https://gpuquant.com/api/mcp

The Claude button above opens Claude with the name and URL filled in. You still confirm it there.

shClaude Code

1claude mcp add --transport http com.gpuquant-infrastructure https://gpuquant.com/api/mcp

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "com.gpuquant-infrastructure": {4      "command": "npx",5      "args": [6        "-y",7        "mcp-remote",8        "https://gpuquant.com/api/mcp"9      ]10    }11  }12}

claude_desktop_config.json

Remote · HTTPPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Remote

Transport: http
Version: 1.0.1
Last checked

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

GPUQuant MCP

Connect an AI agent to sourced AI infrastructure records from GPUQuant.

GPUQuant's hosted MCP provides read-only tools for finding infrastructure, inspecting facility facts and checking company relationships. Results link to GPUQuant records and their supporting sources, retaining verification dates and unknown values.

Connection URL: https://gpuquant.com/api/mcp

Transport: Streamable HTTP. No API key is required for this public infrastructure service.

This repository contains connection instructions, the registry manifest and a reproducible HTTP smoke test. The hosted service runs on GPUQuant; cloning this repository does not copy or self-host GPUQuant's database.

Connect

In an MCP-compatible application's remote-server settings, add the connection URL above. Use the application's own remote MCP support; configuration format varies by client.

For clients using the VS Code mcp.json format:

{
  "servers": {
    "gpuquant": {
      "type": "http",
      "url": "https://gpuquant.com/api/mcp"
    }
  }
}

See the GPUQuant connection guide and your client's current MCP documentation. The endpoint supports the current MCP protocol and legacy clients using the 2025 initialization handshake.

Tools

Tool	Purpose
`search_infrastructure`	Find infrastructure records by name or location with bounded pagination
`get_facility`	Read a facility's public facts, sources and verification context
`get_company`	Read company facts and sourced relationships

Use tools/list to obtain the exact current input schemas. Results include canonical GPUQuant URLs so readers can open the underlying record and report a correction.

Example questions

“Find infrastructure records mentioning Copenhagen and show their sources.”
“What does GPUQuant know about this facility's operator and status, and when was it verified?”
“Which supply-chain relationships are documented for this company, and which are only reported?”
“Identify unknown or stale facts before summarizing this company's infrastructure.”

Coverage and interpretation

The first release focuses on infrastructure records and company relationships. It does not expose licensed Ornn or Silicon Data feeds, trading accounts, orders, imagery, building geometry or raw source excerpts. Dates describe the underlying records or sources; a retrieval timestamp is not a fresh verification of a fact.

Announced capacity, construction and operating capacity are different claims. Missing values remain unknown. Supporting sources may describe different dates or scopes; inspect them before relying on a comparison. The MCP supplies research context and does not place trades or provide investment recommendations.

Check the connection

Requires Node.js 20 or newer. No packages or credentials are needed:

node scripts/smoke.mjs

The script checks initialization, tool discovery, all three tools against real records, and current-protocol discovery. To test a development endpoint:

node scripts/smoke.mjs http://localhost:3000/api/mcp

Corrections and connection issues

Report an incorrect infrastructure record.
Report an MCP connection issue.
Contact GPUQuant for data access and partnerships.

The MIT license applies to this repository's original documentation and example code. Data and linked sources retain their own terms. Methodology · Map · Community

Add this server

Host a copy with our keys and logs.

Server facts

Tools

Questions

How do I install GPUQuant AI Infrastructure?

Does GPUQuant AI Infrastructure need an API key?

What transport does GPUQuant AI Infrastructure use?

When was GPUQuant AI Infrastructure last checked?

Documentation

GPUQuant MCP

Connect

Tools

Example questions

Coverage and interpretation

Check the connection

Corrections and connection issues